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Visualization of Online Datasets

Peng, Taoxin; Downie, Christopher

Authors

Christopher Downie



Abstract

As computing technology advances, computers are being used to orchestrate and advance wide spectrums of commercial and personal life, information visualization becomes even more significant as we immerse ourselves into the era of big data, leading to an economy heavily reliant on data mining and precise, meaningful visualizations. However, accuracy of information visualization techniques is heavily dependent on the knowledge and capabilities of users, leaving novices in many fields at a disadvantage. This is a challenging problem that has been inadequately addressed regardless of the influx in visualization tools. Therefore, this paper proposes a novel approach with a focus on online datasets, allowing users to automatically and accurately visualize datasets. Experiment results show that using a browser extension and specially created HTML tables containing custom attributes - stating the data attribute type - the approach is able to detect and present the most suitable visualizations at the click of a mouse. This proposed approach provides a means for novices to quickly and accurately visualize online datasets.

Citation

Peng, T., & Downie, C. (2017). Visualization of Online Datasets. International Journal of Networked and Distributed Computing, 6(1), 11-23. https://doi.org/10.2991/ijndc.2018.6.1.2

Journal Article Type Article
Acceptance Date Jul 19, 2017
Online Publication Date Apr 12, 2018
Publication Date Dec 31, 2017
Deposit Date Oct 12, 2017
Publicly Available Date Jul 8, 2019
Journal International Journal of Networked and Distributed Computing
Print ISSN 2211-7938
Electronic ISSN 2211-7946
Publisher International Association of Computer and Information Science (ACIS)
Peer Reviewed Peer Reviewed
Volume 6
Issue 1
Pages 11-23
DOI https://doi.org/10.2991/ijndc.2018.6.1.2
Keywords Online datasets, Visualization, Browser Extensions, Data transformation, HTML
Public URL http://researchrepository.napier.ac.uk/Output/990652
Publisher URL http://www.atlantis-press.com/publications/ijndc/index.html
Contract Date Oct 13, 2017

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